I have the following task:
I need to compare full Bayesian probit regression using MCMC sampling and Laplacian logistic regression. I have a training set of data and an evaluation set. The response is ...

Hope this find you well, I am working in Bnlearn packages become it is very nice,I have data frame of 54 observation and 91 variable, and I want to find the marginal probability for each row of data ...

Is it possible to do Online-continuous learning with PyMC ? Any examples ?
I've read one answer and understand that normally your model starts with uninformative-priors, so once you fit the model you ...

The best example I could find of how to estimate this type of IRT Bayesian model using MCMC in Python was this example. Below is a reproducible version of the code that I got to run. My understanding ...

I would like to estimate an Item Response Theory (IRT) model in Python. More specifically, take the canonical IRT example of students taking an exam. For each student we observe whether or not they ...

I have several objects, each object should be rated by [q]Quality, [v]Value and [s]Suitability by a user.
Currently I am retrieving the total average of each object by Score = (q+v+s/3) - That said I ...

Trying to learn PyMC by transferring some of the models from the book "Doing Bayesian Data Analysis" (Kruschke). One basic example (from Ch. 9) is to assume a set of coins is distributed according to ...

I am doing a Bayesian analysis, and I am trying to estimate two parameters. To approximate the posterior distribution, I have constructed a fine grid and computed the posterior probability for each ...

I am really looking forward to implement bayesian average rating system for a site I'm developing. I have faced a problem though - all of the examples I can find on the net, are for multi-value rating ...

I could not get the code below to work. it is a hierarchical one way ANOVA model, but when I click data load the error message that appears is expected the collection operator c. What does that mean? ...

I'm trying to reproduce the results of this tutorial (see LASSO regression) on PyMC3. As commented on this reddit thread, the mixing for the first two coefficients wasn't good because the variables ...

I would like to forecast stock prices based on a GARCH model. I would like to run each model for every company (share) and pool this into one GARCH model. I thought this could be done by some kind of ...

Hye there! I need to know can somebody give me any idea for how can I use Weka for Naive Bayes Text Classification into my Java Project and how can I get the binaries for coding?
The thing is I have ...

I have a function from a toolbox, I paste it here. I cannot understand the last part,
which begins from "% // calculate the priors based on occurence in the training set" ? Can
anybody explain it for ...

i have a 10 x 10 grid. and a object1 and object2 that is randomly place in the grid. the prior probability that it can be place in any square is 0.01 (I believe). i am trying to find p(d|x,y) where d ...

I am trying to perform a Naive Bayes classifier on a simple dataset that I have. The three variables that I have are weight (continuous), BP (continuous), and disease (dichotomous). Nevertheless, when ...

I'm pretty new to PyMC, and I'm trying to implement a fairly simple Bayesian correlation model, as defined in chapter 5 of "Bayesian Cognitive Modeling: A Practical Course", which is as defined below:
...